Instructions to use MM2157/BERT_token_classification_AraEval24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MM2157/BERT_token_classification_AraEval24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MM2157/BERT_token_classification_AraEval24")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MM2157/BERT_token_classification_AraEval24") model = AutoModelForTokenClassification.from_pretrained("MM2157/BERT_token_classification_AraEval24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MM2157/BERT_token_classification_AraEval24: direct link, hf CLI and curl.
- Browser
- Download file 3.95 kB
-
https://huggingface.co/MM2157/BERT_token_classification_AraEval24/resolve/main/training_args.bin
- Command line
-
hf download hf://MM2157/BERT_token_classification_AraEval24/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MM2157/BERT_token_classification_AraEval24/resolve/main/training_args.bin
3.95 kB
- Xet hash:
- c31c10802b5686836ebd8f0a9efb5855c0079e9bd20997ccae4902873e4ee2dd
- Size of remote file:
- 3.95 kB
- SHA256:
- 6fed4ed9c8de9e53928e9889cf22520585f0646042b554bfd04ef9492b7b49e1
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